| Paper: | IMDSP-L1.2 | ||
| Session: | Image Coding | ||
| Time: | Tuesday, May 16, 10:50 - 11:10 | ||
| Presentation: | Lecture | ||
| Topic: | Image and Multidimensional Signal Processing: Still Image Coding | ||
| Title: | Rate-Distortion Optimized Image Compression Using Generalized Principal Component Analysis | ||
| Authors: | Dohyun Ahn, Seoul National University, Republic of Korea; Chang-Su Kim, Korea University, Republic of Korea; Sang-Uk Lee, Seoul National University, Republic of Korea | ||
| Abstract: | A novel image compression algorithm based on generalized principal component analysis (GPCA) is proposed in this work. Each image block is first classified into a subspace and is represented with a linear combination of the basis vectors for the subspace. Therefore, the encoded information consists of subspace indices, basis vectors and transform coefficients. We adopt a vector quantization scheme and a predictive partial matching scheme to encode subspace indices and basis vectors, respectively. We also propose a rate-distortion optimized quantizer to encode transform coefficients efficiently. Simulation results demonstrate that the proposed algorithm provides better compression performance than JPEG, especially at low bitrates. | ||
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